Liquid Crystal Institute and Department of Chemical Physics, Kent State University , Kent, Ohio 44242, United States.
Langmuir. 2013 Nov 26;29(47):14396-402. doi: 10.1021/la403427y. Epub 2013 Nov 11.
In this article, we present a high-precision image-processing algorithm for tracking the translational and rotational Brownian motion of boomerang-shaped colloidal particles confined in quasi-two-dimensional geometry. By measuring mean square displacements of an immobilized particle, we demonstrate that the positional and angular precision of our imaging and image-processing system can achieve 13 nm and 0.004 rad, respectively. By analyzing computer-simulated images, we demonstrate that the positional and angular accuracies of our image-processing algorithm can achieve 32 nm and 0.006 rad. Because of zero correlations between the displacements in neighboring time intervals, trajectories of different videos of the same particle can be merged into a very long time trajectory, allowing for long-time averaging of different physical variables. We apply this image-processing algorithm to measure the diffusion coefficients of boomerang particles of three different apex angles and discuss the angle dependence of these diffusion coefficients.
在本文中,我们提出了一种高精度的图像处理算法,用于跟踪在类二维几何中受限的回旋镖形胶体粒子的平移和旋转布朗运动。通过测量固定粒子的均方位移,我们证明了我们的成像和图像处理系统的位置和角度精度分别可以达到 13nm 和 0.004rad。通过分析计算机模拟图像,我们证明了图像处理算法的位置和角度精度可以达到 32nm 和 0.006rad。由于相邻时间间隔的位移之间没有相关性,因此同一粒子的不同视频的轨迹可以合并成一个非常长的时间轨迹,从而可以对不同物理变量进行长时间平均。我们应用此图像处理算法来测量具有三个不同顶角的回旋镖粒子的扩散系数,并讨论这些扩散系数的角度依赖性。